Research Scientist - Data Science

Job Description

Role Overview:You will actively support the philosophy, values, and key strategic initiatives of the organization and the department, contributing to the overall success of RDIT by driving innovation and team performance. Your role involves innovating solutions using Artificial Intelligence and machine learning, collaborating with cross-functional teams to understand business requirements, and providing data-driven solutions. Additionally, you will execute and manage advanced analytics and data science projects, focusing on data visualization and machine learning model development and deployment.Key Responsibilities:- Manage advanced analytics and data science projects, with a focus on data visualization and machine learning model development and deployment.- Implement and manage ETL processes to ensure efficient extraction, transformation, and loading of data from various sources.- Ensure data quality and accuracy in all analytical processes.- Use programming and scripting skills to automate processes and enhance effectiveness and productivity.- Analyze large datasets using statistical techniques and machine learning models.- Create and maintain Power BI dashboards to visualize data and communicate findings to stakeholders.- Set up and maintain CI/CD pipelines for data science projects.- Collaborate with cross-functional teams to address business requirements.- Develop and implement algorithms for predictive modeling of agrochemical-based active ingredients.- Participate in the assessment and introduction of new data technology supporting digitalization and automation efforts.- Carry out advanced statistical analysis in combination with machine learning and artificial intelligence.- Build group capability and stay updated on new tools for digitization and data analytics.Qualification Required:- PhD or Masters in data science, statistics, computational sciences, informatics, or related discipline from a reputed University or Institute.- Experience in creating interactive dashboard/data app, AI/ML model building, cloud platforms, and big data analytics platform.- High-quality research publications and/or patents are appreciated.Additional Company Details:Omit this section as no additional details of the company are mentioned in the job description. Role Overview:You will actively support the philosophy, values, and key strategic initiatives of the organization and the department, contributing to the overall success of RDIT by driving innovation and team performance. Your role involves innovating solutions using Artificial Intelligence and machine learning, collaborating with cross-functional teams to understand business requirements, and providing data-driven solutions. Additionally, you will execute and manage advanced analytics and data science projects, focusing on data visualization and machine learning model development and deployment.Key Responsibilities:- Manage advanced analytics and data science projects, with a focus on data visualization and machine learning model development and deployment.- Implement and manage ETL processes to ensure efficient extraction, transformation, and loading of data from various sources.- Ensure data quality and accuracy in all analytical processes.- Use programming and scripting skills to automate processes and enhance effectiveness and productivity.- Analyze large datasets using statistical techniques and machine learning models.- Create and maintain Power BI dashboards to visualize data and communicate findings to stakeholders.- Set up and maintain CI/CD pipelines for data science projects.- Collaborate with cross-functional teams to address business requirements.- Develop and implement algorithms for predictive modeling of agrochemical-based active ingredients.- Participate in the assessment and introduction of new data technology supporting digitalization and automation efforts.- Carry out advanced statistical analysis in combination with machine learning and artificial intelligence.- Build group capability and stay updated on new tools for digitization and data analytics.Qualification Required:- PhD or Masters in data science, statistics, computational sciences, informatics, or related discipline from a reputed University or Institute.- Experience in creating interactive dashboard/data app, AI/ML model building, cloud platforms, and big data analytics platform.- High-quality research publications and/or patents are appreciated.Additional Company Details:Omit this section as no additional details of the company are mentioned in the job description.

Keyskills :
Artificial IntelligenceMachine LearningData VisualizationProgrammingScriptingPythonPower BIPredictive ModellingAutomationStatistical AnalysisAlgorithmsAgrochemicalData AnalyticsBig Data AnalyticsHadoopSparkETL ProcessesStatistical Techn